Results 331 to 340 of about 5,322,533 (364)

Dynamic scan scheduling

23rd IEEE Real-Time Systems Symposium, 2002. RTSS 2002., 2003
We present an approach to computing cyclic schedules online and in real time, while attempting to maximize a quality-of-service metric. The motivation is the detection of RF emitters using a schedule that controls the scanning of disjoint frequency bands.
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Effective Dynamic Scheduling of Reconfigurable Microgrids

IEEE Transactions on Power Systems, 2018
This paper develops an effective model for microgrid optimal scheduling with dynamic network reconfiguration. Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses ...
Abdollah Kavousi-fard, A. Zare, A. Khodaei   +2 more
semanticscholar   +1 more source

Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling

IEEE Transactions on Cybernetics, 2018
The information exchange gap between current operation control and dynamic scheduling in high-speed railway systems (HRSs) still exists, and this gap has hindered the further integrative improvement of HRSs. This paper aims to explore a feasible solution
Hai-rong Dong, Hainan Zhu, Yidong Li, Yisheng Lv, Shigen Gao, Qi Zhang, B. Ning   +6 more
semanticscholar   +1 more source

Dynamic scheduling with incomplete information

Proceedings of the tenth annual ACM symposium on Parallel algorithms and architectures - SPAA '98, 1998
We consider the following scheduling problem: Our goal is to execute a given amount of arbitrarily decomposable work on a distributed machine as quickly as possible. The work is maintained by a central scheduler that can assign chunks of work of an arbitrary size to idle processors. The difficulty is that the processing time required for a chunk is not
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Dynamic Interday and Intraday Scheduling

Operations Research
Adaptive Patient Flow Management Appointment scheduling has significant clinical, operational, and economical impact on healthcare systems. An informed scheduling strategy that can effectively match patient demand and service capacity dynamically is vital for the business of medical providers, quality of care, and patient satisfaction.
Christos Zacharias, Nan Liu, Mehmet A. Begen   +2 more
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Dynamic scheduling for flexible job shop using a deep reinforcement learning approach

Computers & industrial engineering, 2023
Yong Gui, D. Tang, Haihua Zhu, Yi Zhang, Zequn Zhang   +4 more
semanticscholar   +1 more source

Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles

Journal of Intelligent Manufacturing, 2023
Lixiang Zhang, Yan Yan, Yaoguang Hu
semanticscholar   +1 more source

Intelligent dynamic production scheduling

Food Research International, 1994
Abstract This paper describes the initial research and subsequent development of a knowledge-based system for finite capacity scheduling in dynamic production environments. The requirements of the problem domain are described, and our approach is contrasted with conventional simulation or algorithmic systems. An analysis of benefits is also presented
J.C. Taunton, C.M. Ready
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Digital twin-driven dynamic scheduling of a hybrid flow shop

Journal of Intelligent Manufacturing, 2022
Khalil Tliba, Thierno M. L. Diallo, O. Penas, Romdhane Ben Khalifa, N. Ben yahia, J. Choley   +5 more
semanticscholar   +1 more source

Dynamic production scheduling

1990
Production scheduling is today most often done by traditional MRP II systems (Manufacturing Resource Planning). These systems have several severe problems: They are planning for unlimited resources. They only compute the resources needed and do not schedule jobs that need the same resource at different times.
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